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Fireworks Algorithm

TAN, Ying - Personal Name;

This book is devoted to the state-of-the-art in all aspects of fireworks algorithm (FWA), with particular emphasis on the efficient improved versions of FWA. It describes the most substantial theoretical analysis including basic principle and implementation of FWA and modeling and theoretical analysis of FWA. It covers exhaustively the key recent significant research into the improvements of FWA so far. In addition, the book describes a few advanced topics in the research of FWA, including multi-objective optimization (MOO), discrete FWA (DFWA) for combinatorial optimization, and GPU-based FWA for parallel implementation. In sequels, several successful applications of FWA on non-negative matrix factorization (NMF), text clustering, pattern recognition, and seismic inversion problem, and swarm robotics, are illustrated in details, which might shed new light on more real-world applications in future. Addressing a multidisciplinary topic, it will appeal to researchers and professionals in the areas of metahuristics, swarm intelligence, evolutionary computation, complex optimization solving, etc.


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Detail Information
Series Title
-
Call Number
-
Publisher
Springer Berlin, Heidelberg : Springer Berlin, Heidelberg., 2015
Collation
XXXIX, 323
Language
English
ISBN/ISSN
978-3-662-46353-6
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
-
Edition
-
Subject(s)
Artificial Intelligence
Specific Detail Info
-
Statement of Responsibility
Ying Tan
Other Information
Cataloger
Jemadi
Source
https://link.springer.com/content/pdf/10.1007/978-3-662-46353-6.pdf?pdf=button
Validator
-
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